Another direct application of our FDL construction algorithm is the Light Field denoising problem. Denoising is naturally obtained by constructing a FDL model from a Light Field, and by rendering images using the same angular coordinates as the input sub-aperture images. The noise is filtered in this approach thanks to the model definition that enforces the Light Field dimensionality gap prior [1]} (see Section REF ).
Note that for the same reason, the method also ensures color and illumination consistency along the angular dimensions. Hence it can serve simultaneously as a denoising and color correction method for Light Fields with variations of color and illumination between the sub-aperture images. In practice, this is particularly useful for Light Fields captured with plenoptic cameras (e.g. Lytro), as shown in figure REF . Additional results are also presented in the supplementary video.
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